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Introduction to Regression Procedures

Regression for Ill-conditioned Data: The ORTHOREG Procedure

The ORTHOREG procedure performs linear least-squares regression using the Gentleman-Givens computational method, and it can produce more accurate parameter estimates for ill-conditioned data. PROC GLM and PROC REG produce very accurate estimates for most problems. However, if you have very ill-conditioned data, consider using the ORTHOREG procedure. The collinearity diagnostics in PROC REG can help you to determine whether PROC ORTHOREG would be useful.

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